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The article brings together Peter Sloterdijk's theory of spheres and literatures on the socio-spatial implications of the functioning of software. In emphasizing the impermanence and ambiguities of these fleeting mediations, the article also points to the politics of these algorithmic foams, whose logics of categorization and socio-spatial sorting become increasingly difficult to understand, politically address or challenge.
Widmer, S. Most social networking applications now also incorporate spatial aspects Wilken and Goggin, Examples range from the georeferencing of posts on Twitter or Facebook to location-based social networks Swarm, Snap Map or dating apps Tinder. This article examines one type of such socio-spatial media: local search engines, i. Importantly, as personalization has become a pervasive aspect of digital cultures, many local search engines work not only by combining the spatial and the social but also by producing specific instantiations of the self.
Referring to the example of the smartphone app Foursquare and developing a previous engagement with the problematic Widmer, , the present article explores what it means to live in these mediated relations to space, alterity and the self. As Sloterdijk's theory of spheres addresses the question of coexistence in spatial formations i.
We therefore suggest that Sloterdijk's theory and terminology offer an important contribution to the analysis of how algorithms shape the co existential spatialities of the everyday. Foams are fragile, flexible and ephemeral spheres, where coexistence unfolds in a paradoxical state of co-isolation i.
We therefore draw on the concepts of foams and co-isolation to address the spheres both self-centred and dependent on the data produced by others created by Foursquare's algorithms and their flexible and ephemeral nature. By focusing on how users experience these co-isolated and ephemeral spatialities, our article underlines the ambiguities arising from attempts to inhabit these fleeting realities. By pointing to this, we also aim to address the politics of these algorithmic foams, whose inconsistency and impossibility of being clearly grasped unveil a problematic aspect of the work performed by machine learning algorithms: the growing difficulty in understanding and in politically addressing their logics of categorization and sorting.